Data Architect - Microsoft Fabric

As a Data Architect at our Startup/Small Enterprise, your primary role will be to lead the enterprise-scale implementation of modern data platforms using Microsoft Fabric. This includes designing and implementing Medallion architecture (Bronze/Silver/Gold), architecting scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions, defining data modeling standards (Dimensional, Data Vault), and establishing data governance frameworks including cataloging and lineage. Additionally, you will be responsible for building CI/CD pipelines for data platforms, designing AI/ML and Generative AI-ready architectures, building ingestion pipelines (batch, streaming, CDC), enabling real-time data processing, and developing target-state architecture and standards. Qualifications Required: - You must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives. - 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations. - Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture and scalable lakehouse platforms supporting batch and real-time workloads. - Experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures. - Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses. - Hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines. - Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls. - Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management. - Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases. - Experience with orchestration and workflow tools, and integrating data platforms with BI tools like Power BI for enterprise reporting. In addition to the above qualifications, preferred certifications include Microsoft Fabric / Azure certifications, exposure to MDM, data quality frameworks, and enterprise metadata tools. As a Data Architect at our Startup/Small Enterprise, your primary role will be to lead the enterprise-scale implementation of modern data platforms using Microsoft Fabric. This includes designing and implementing Medallion architecture (Bronze/Silver/Gold), architecting scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions, defining data modeling standards (Dimensional, Data Vault), and establishing data governance frameworks including cataloging and lineage. Additionally, you will be responsible for building CI/CD pipelines for data platforms, designing AI/ML and Generative AI-ready architectures, building ingestion pipelines (batch, streaming, CDC), enabling real-time data processing, and developing target-state architecture and standards. Qualifications Required: - You must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives. - 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations. - Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture and scalable lakehouse platforms supporting batch and real-time workloads. - Experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures. - Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses. - Hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines. - Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls. - Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management. - Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases. - Experience with orchestration and workflow tools, and integrating data platforms with BI tools like Power BI for enterprise reporting. In addition to the above qualifications, preferred certifications include Microsoft Fabric / Azure certifications, exposure to MDM, data quality frameworks, and enterprise metadata tools.